Teaching and Scientific popularisation

• (2025–2026, 2×3h CM, M1, SB) Introduction à lʼhistoire des mathématiques

  These two sessions of introduction to the history of mathematics were part of a larger class for the first year of the master's program. The first of the two took dealt with a controversy around the interpretation of Old Babylonian tablets, and used this as an opportunity to present the problems related to the edition of the texts, and the importance of archaeological contexts to understand the mathematical content of the text. The following session took this as a starting point to explore further the reconstitution of mathematical practices from texts in Chinese and in Sanskrit.

• (2024–2025, 7×3h CM, M2, SC) Histoire des mathématiques

  This whole semester class dealt with the History of Algebra. I was in charge for the first half of the semester, which dealt with everything from Antiquity until the Modern Period (c. 17th century). My part of the class was organised around the reading of sources in their original language (Akkadian, Chinese, Sansirkt, Arabic, Latin, French and German). These texts were selected as an opportunity to talk about issues of method, regarding how to deal with the archaeological context of the sources, the stakes related to the methods of edition, the way texts are read, and so on.

This session was part of a larger class dedicated to the topic of "Numbers and Magnitudes". The goal for this session was to show how sources related to the History of Astronomy could be used to study such a theme. I composed the lesson around a collection of documents from different periods and in different languages, which constituded multiple case studies. Students could then choose to write their final essay on an article which allowed them to dive deeper into one of the topics explored in the class.

• (2025–2026, 1×3h CM, M1, SA) History of mathematics in South Asia

  I made this session in coordination with Haolin Wang 王浩霖 and Taro Tokutake 徳武 太郎. We presented an overview of multiple mathematical problems dealt in Sanskrit texts.

• (2024–2025, 1×3h CM, M1, SA) Sciences in Mesopotamia

  This class, made with Adeline Reynaud, was a general introduction to the history of sciences in the Ancient Middle East. It was composed around four themes: divination, medicine, mathematics and astronomy. These were used as case studies to explore the broader methodological question of characterising the role of "sciences" in ancient sources.

I helped children from 6 to 12 years old to perform experiments in extracurricular or leisure animations, or in public forums.

• Building and programming robots and electronic circuits.
• Experimenting around the notions of motion and mechanics.
• Building rockets and performing games around space exploration.

• Guided visits for a temporary exposition in the Musée national des arts et métiers about mathematical surfaces, for classes from middle school to the master degree. These animations especially enabled the public to discover different fields of applied mathematics, and to answer students' questions about the prospects of mathematical studies.
• Animation of augmented reality activities prepared by the company Holomath about Brownian motion during multiple events.

How many days are there between two given dates? To answer this question, Parisian scholars from the end of the 13th century used different numerical tables, for which multiple algorithms has been written down. By studying these texts, we learn more about the way computations were carried out at that time.

This article presents the Wallace-Bolyai-Gerwein theorem, proving that if two polygons have the same surface, there is at least a finite collection of polygons that is a decomposition of both of them.

This article presents the project of an application developed by the authors to explore different geometric activities related to polygons, especially by exploiting the Wallace-Bolyai-Gerwein theorem on equidecomposability of polygons of same area.

This article is meant to be an introduction to statistical methods of automatic learning in artificial intelligence.